Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the burden of behavioral transparency. It states what information is provided, but does not explicitly mention whether the operation is read-only, whether it can fail, or any other side effects. For a simple provenance retrieval, this is acceptable but not fully explicit. There is no contradiction with any annotation because no annotations exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description consists of two concise sentences. The first sentence lists the core content (source, date, licence, citation) and the second provides a practical use case. It is well-structured, with the key information front-loaded, and contains no filler or redundant wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity—no parameters, no output schema—the description is nearly complete. It tells the agent the content and purpose. It does not specify the output format (e.g., a structured object or text), but that is a minor omission for a straightforward provenance getter. Overall, an agent can infer how to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the schema shows no parameter definitions, meaning 100% coverage. According to the guidelines, when schema coverage is high, a baseline score of 3 is appropriate even if the description adds no extra parameter details. The description does not need to explain parameters because there are none.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly indicates the tool provides provenance information (source, date, licence, citation) for the Siftvo dataset. Although the verb 'get' or 'return' is implied rather than explicit, the reference to 'read this' makes the purpose understandable. It distinguishes from sibling tools by focusing on provenance rather than data access or comparison.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The second sentence gives concrete guidance: 'Read this to attribute a figure correctly.' This tells the agent when to use the tool (for attribution tasks). It does not explicitly mention alternatives, but the context is clear enough that an agent can infer this tool is for provenance metadata only. The guidance is brief but effective.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.